Data Analytics Lead Jobs in North Carolina
Data Analytics Lead jobs in North Carolina are in strong demand, concentrated in financial services, life sciences, technology, and healthcare sectors, with openings at every level from senior analyst stepping into a lead role through seasoned analytics directors. The busiest hiring markets are Charlotte, Raleigh, and Durham, where companies like Bank of America, Lenovo, and Duke University Health System consistently recruit analytics leads. Data governance, machine learning model deployment, and business intelligence platform management are among the most sought-after specialties across North Carolina employers. Find a role that fits below and apply directly.
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We are seeking an experienced Senior Data Engineer with deep expertise in Oracle-based analytical platforms and Apache Spark to support large-scale data modernization, migration, and analytics initiatives. The ideal candidate will have hands-on experience building high-performance data pipelines, optimizing large-scale data processing workloads, and integrating enterprise data platforms with modern cloud analytics solutions.
Key Responsibilities:
- Design, develop, and optimize large-scale data processing solutions using Apache Spark (PySpark/Scala) and Python.
- Build and maintain scalable ETL/ELT pipelines for analytical and reporting workloads.
- Optimize query performance, Spark jobs, and end-to-end data processing pipelines for high-volume batch and near real-time workloads.
- Design and implement data integration, replication, and ingestion solutions using technologies such as Oracle GoldenGate, Kafka, and CDC frameworks.
- Collaborate with application, data, and analytics teams to develop scalable data models and processing frameworks.
- Drive performance tuning initiatives across Oracle, Spark, and distributed data processing environments.
Required Qualifications:
- 8+ years of experience in Data Engineering or related roles.
- Strong hands-on experience with Apache Spark (PySpark and/or Scala) and Python.
- Deep understanding of Oracle databases supporting OLAP, data warehousing, and analytical workloads.
- Proven experience tuning and optimizing:
- Spark applications and execution plans
- Complex SQL queries
- Large-scale ETL/ELT processes
- High-volume batch processing workloads
- Strong SQL and data modeling skills.
- Experience with Oracle GoldenGate, CDC, or enterprise-scale data integration technologies.
Preferred Qualifications:
- Experience with Oracle Exadata and large-scale Oracle analytics platforms.
- Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataproc, Cloud Storage, Pub/Sub, and Dataflow.
- Experience integrating Oracle with cloud data platforms, data lakes, Kafka, Hadoop, or BigQuery.
- Experience with Azure, OCI, or multi-cloud data architectures.
- Experience supporting large-scale data migration and modernization programs.
- Ideal Candidate A hands-on data engineer with strong expertise in Oracle for analytical and data warehousing workloads, advanced Spark development and performance tuning skills, and experience building scalable cloud-based analytics solutions. Experience with Google Cloud and BigQuery is highly desirable.
We are seeking an experienced Senior Data Engineer with deep expertise in Oracle-based analytical platforms and Apache Spark to support large-scale data modernization, migration, and analytics initiatives. The ideal candidate will have hands-on experience building high-performance data pipelines, optimizing large-scale data processing workloads, and integrating enterprise data platforms with modern cloud analytics solutions.
Key Responsibilities:
- Design, develop, and optimize large-scale data processing solutions using Apache Spark (PySpark/Scala) and Python.
- Build and maintain scalable ETL/ELT pipelines for analytical and reporting workloads.
- Optimize query performance, Spark jobs, and end-to-end data processing pipelines for high-volume batch and near real-time workloads.
- Design and implement data integration, replication, and ingestion solutions using technologies such as Oracle GoldenGate, Kafka, and CDC frameworks.
- Collaborate with application, data, and analytics teams to develop scalable data models and processing frameworks.
- Drive performance tuning initiatives across Oracle, Spark, and distributed data processing environments.
Required Qualifications:
- 8+ years of experience in Data Engineering or related roles.
- Strong hands-on experience with Apache Spark (PySpark and/or Scala) and Python.
- Deep understanding of Oracle databases supporting OLAP, data warehousing, and analytical workloads.
- Proven experience tuning and optimizing:
- Spark applications and execution plans
- Complex SQL queries
- Large-scale ETL/ELT processes
- High-volume batch processing workloads
- Strong SQL and data modeling skills.
- Experience with Oracle GoldenGate, CDC, or enterprise-scale data integration technologies.
Preferred Qualifications:
- Experience with Oracle Exadata and large-scale Oracle analytics platforms.
- Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataproc, Cloud Storage, Pub/Sub, and Dataflow.
- Experience integrating Oracle with cloud data platforms, data lakes, Kafka, Hadoop, or BigQuery.
- Experience with Azure, OCI, or multi-cloud data architectures.
- Experience supporting large-scale data migration and modernization programs.
- Ideal Candidate A hands-on data engineer with strong expertise in Oracle for analytical and data warehousing workloads, advanced Spark development and performance tuning skills, and experience building scalable cloud-based analytics solutions. Experience with Google Cloud and BigQuery is highly desirable.
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Find Data Analytics Lead JobsData Analytics Lead Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Data Analytics Lead Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Investment & Asset Management
- Consulting & Professional Services
- Accounting & Auditing
- Banking & Financial Services
What North Carolina Employers Look For
The qualifications that appear most often in data analytics lead jobs across North Carolina.
- Bachelor's or master's degree in data science, statistics, computer science, or a related field
- Five or more years of analytics experience with at least one year in a lead or supervisory capacity
- Proficiency in SQL, Python, or R alongside a major BI platform such as Tableau or Power BI
- Demonstrated experience translating complex data findings into actionable recommendations for business stakeholders
- Hands-on experience with cloud data platforms such as AWS, Azure, or Google Cloud
- Strong project management and cross-functional collaboration skills in a matrixed North Carolina organization
Data Analytics Lead Jobs in North Carolina: Frequently Asked Questions
How do you become a data analytics lead in North Carolina?
Becoming a data analytics lead in North Carolina typically requires a bachelor's degree in a quantitative field and progressive analytics experience, often starting as a data analyst or business intelligence developer. No state-issued license is required for this role. North Carolina employers in financial services, life sciences, and healthcare generally look for candidates who have led a project team or mentored junior analysts, along with proficiency in modern data stack tools and cloud platforms.
How much do data analytics leads make in North Carolina?
Data analytics leads in North Carolina earn a median of about $119,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,970 for the lowest 10% to over $172,830 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics leads in North Carolina?
Employers hiring data analytics leads in North Carolina right now include Marsh, Deloitte, and American Express, based on current listings on Migrate Mate as of September 2026. North Carolina's concentration of financial institutions in Charlotte and research-driven life sciences companies in the Research Triangle Park area makes it one of the more active states for analytics leadership hiring.
Which North Carolina cities have the most data analytics lead jobs?
Charlotte, Raleigh, and Durham account for the most data analytics lead openings in North Carolina. Charlotte leads because of its dense concentration of major banks and financial services firms, while Raleigh and Durham draw demand from technology companies, university health systems, and the life sciences corridor anchored by Research Triangle Park, which together generate consistent analytics leadership needs.
Are there remote data analytics lead jobs in North Carolina?
Yes, and more than most fields. About 56% of data analytics lead openings tied to North Carolina are remote or hybrid as of September 2026, reflecting how well suited the role is to distributed work. Strategy, reporting, and model development functions are most commonly offered remotely, while roles that require close coordination with on-site operations or regulated data environments tend to require at least a hybrid presence.
How can I get hired as a data analytics lead in North Carolina with little or no experience?
The most realistic entry path is moving into a junior data analyst or reporting analyst role first, then building toward a lead position through demonstrable project ownership. Large North Carolina employers in banking, healthcare, and tech, including hospital systems affiliated with UNC Health or Atrium Health, run rotational analyst programs that develop early-career candidates. Building a portfolio with public datasets, earning a cloud certification, and targeting associate analytics roles at mid-size firms in the Research Triangle are practical ways to open the door.
Where can I find and apply to data analytics lead jobs in North Carolina?
You can find and apply to data analytics lead jobs in North Carolina on Migrate Mate, which lists current North Carolina openings updated regularly. Find roles that fit your experience and location and apply directly to the employer without needing to create a profile or sign up.
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